3 Ea Sparx Jobs

About the Opportunity Job Type: Permanent Application Deadline: 30 September 2025 Job Description Title : Technical Specialist - Data Modelling Department: Enterprise Data & Analytics Location: Bangalore Reports To: Project Manager Grade/Level : 4 Working Shift : UK Hours (12-21 Hrs IST) We're proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this By working together - and supporting each other - all over the world. So, join our Enterprise Data & Analytics team and feel like you're part of something bigger. The Enterprise Data & Analytics team will be responsible for enhancing data governance and maturity by capturing critical data elements and metadata, defining data quality rules, and developing data models. This team's capabilities will encompass Data Management, Data Governance, Data Quality, Data Architecture, and Reporting. Additionally, the team will ensure the adoption of appropriate tools, enforce standards, and deliver foundational capabilities. This role engages across business and technology teams for alignment on the data modelling standard and practices. The role is expected to communicate/collaborate with senior level employees as well as technical product & service owners and be able to work across all levels of the FIL enterprise. This function will be responsible for understanding business, data & technology services with a view to create a strategic approach to data modelling and its adoption. Key Responsibilities: Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes. To develop, maintain and promote the Enterprise Data Modelling Standards & Procedures To maintain the Enterprise Data Model Repository, in partnership with the business unit lead data modellers To develop and maintain the Enterprise Data Modelling Operating Model Open to work in UK Hours shift (12-21 Hrs IST) Essential Skills Strong demonstrable experience in developing and implementing data models, particularly dimensional data models and third normal form models with 8-10 years Exp. In same. Project Delivery - candidate should have experience in End-End Model design, Development and Delivery of appropriate Target Data Models on at least 2-3 different projects. Modelling Tool - Working experience on one of the Enterprise modelling tools - ER Studio, Erwin, Power Designer, EA Sparx etc. Good basic understanding of the Asset Management business (2-4 years) Clear understanding of, and the differences between, conceptual, logical and physical models The desire and ability to lead data model reviews and resolve design issues as required The desire and ability to develop and maintain Enterprise Data Modelling Standards & Procedures The desire and ability to work with business unit delivery teams to ensure Enterprise Data Modelling Standards & Procedures are followed. Should be confident & must have excellent communication skills. Feel rewarded Excellent opportunity to work on emerging data technologies and learn with highly energised technical and engineering community, creating an environment of collaborative learning, sharing and positive challenge. Work in highly meritocratic set-up where excellence is suitably enabled, supported, and rewarded. Ability to work on mission critical, enterprise grade financial services systems which support millions of customers. Exposure to work towards our technical strategy which has taken on the challenge of relentless simplification, cloud onboarding, modern technologies and ways of working/problem solving. Job Status Permanent

Dear Candidate, Hope you're doing well!!!! We are looking for an experienced Data Modeller Position: Data Modeller Experience: 8 Yrs to 18+ Yrs Location: Hyderabad Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements • Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification o Engineering Grad / Postgraduate CRITERIA o Proficient in relational data modeling and business analysis with metadata management experience. o Skilled in developing conceptual, logical, and physical data models for varied environments. o Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. o Experience in creating and governing data models, including financial and reference models. o Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. o Relevant Experience: 6-9 years If you are interested, kindly forward your latest CV kavita.khyata@wowjobs.biz immediately incorporating the following details: Current CTC: Expected CTC Notice period: Also, it would be greatly appreciated if you refer any of your friends having experience in the same field

Data Modeller Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification Engineering Grad / Postgraduate CRITERIA Proficient in relational data modeling and business analysis with metadata management experience. Skilled in developing conceptual, logical, and physical data models for varied environments. Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. Experience in creating and governing data models, including financial and reference models. Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. Relevant Experience: 6-9 years